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SpaceX’s orbital Starship launch debut may be pushed to 2022 by slow FAA reviews
In a rare sign of material progress, SpaceX and the FAA have finally released what is known as a draft environmental assessment (EA) of the company’s South Texas Starship launch plans.
Set to be the largest and most powerful rocket in spaceflight history when it first begins orbital launches, the process of acquiring permission to launch Starship and its Super Heavy booster out of the wetlands of the South Texas coast was never going to be easy. The Boca Chica site SpaceX ultimately settled on for its first private launch facilities – initially meant for Falcon 9 and Falcon Heavy but later dedicated to BFR (now Starship) – is simultaneously surrounded by sensitive coastal habitats populated by several threatened or endangered species and situated mere miles as the crow flies from a city whose temporary population oscillates from a few thousand to tens of thousands.
Reception and analysis of the draft and its timing have been mixed. On one hand, SpaceX’s draft EA – completed with oversight from the FAA and help from the US Fish and Wildlife Service (USFWS) – gives a number of reasons for optimism. In a sign that SpaceX is taking a pragmatic approach to the inevitable environmental review and launch license approval hurdles standing in front of orbital South Texas Starship launches, the company has actually pursued what is known as a “programmatic environmental assessment” (PEA).
Most importantly, that means that SpaceX’s Starbase PEA – if approved – will be more like a foundation or stepping stone that should make it easier to start small and methodically expand the scope and nature of the company’s plans for Boca Chica. Along those lines, as part of Starbase’s first dedicated environmental assessment, SpaceX has proposed a maximum of 23 flight operations annually while Starship is still in the development phase, including up to 20 suborbital Starship test flights and 3 orbital launches (or Super Heavy hops). Once SpaceX has worked out enough kinks for slightly more confident Starship operations, the company would enter an “operational phase” that would allow for as many as five suborbital Starship launches and five orbital Starship launches, as well as ship and booster landings back on land after all 10 possible launches.
In other words, SpaceX’s initial draft PEA is extremely conservative, requesting permission for what amounts to a bare minimum concept of operations for orbital Starship launches. At a maximum of 3-5 orbital launches per year, a PEA and subsequent launch license approved as-is would likely give SpaceX just enough slack to perform basic Earth orbit launches and no more than one or two orbital refilling tests per year. However, as an example, a five-launch maximum would almost entirely prevent SpaceX from launching Starship to Mars, the Moon, and maybe even high-energy Earth orbits without using all of its annual launch allotments on a single mission.
Perhaps most importantly, the draft PEA as proposed would unequivocally prevent SpaceX from performing the NASA Human Lander System (HLS) Moon landings it received an almost $3 billion contract to complete. Each HLS Starship Moon landing is expected to require anywhere from 10-16 launches to deliver a depot ship, HLS lander, and ~1200 tons of propellant to orbit. However, in terms of SpaceX’s prospects of developing Starship as quickly as possible, that’s actually a good thing. Above all else, SpaceX’s slimmed-down draft PEA should be far easier for the FAA to approve than a PEA pursuing permission for Starship’s ultimate ambitions – dozens to hundreds of launches annually – from the beginning. In theory, with this barebones PEA approved, SpaceX would then be able to build off the foundation with additional environmental assessments – like, for example, of expanding Starship’s maximum launch cadence.
Of course, SpaceX first needs the FAA turn this first draft PEA into a favorable environmental assessment (not a guarantee) before any of the above starts to matter. Based on the content of the draft itself and associated appendixes, SpaceX appears to have a decent shot at receiving a “finding of no significant impact (FONSI)” or “mitigated FONSI” determination. However, SpaceX began the process of creating that draft as far back as mid-2020, followed by an FAA announcement in November 2020. The implication is that the FAA managed to drag out a draft release process that some have estimated should have taken 3-4 months into an arduous 10-15 month ordeal.
Combined with the uphill battle it’s starting to look like SpaceX will have to wage for an orbital Starship launch license in South Texas, it’s looking increasingly likely that Starship, Super Heavy, and Starbase will be technically ready for orbital launch tests well before the FAA is ready to approve or license them. Barring delays, the public now has until mid-October to read and comment on SpaceX’s draft PEA, after which the FAA and SpaceX will review those comments and hopefully turn the draft into a completed review. Even if the FAA were to somehow take just two months to return a best-case FONSI, clearing Starbase of environmental launch hurdles, it’s hard to imagine that the agency could then turn around and approve an orbital Starship launch license – or even a one-off experimental permit – in the last few weeks of 2021.
Ultimately, that means that nothing short of a minor miracle is likely to prevent the FAA’s environmental review and licensing delays from directly delaying Starship’s orbital launch debut. There is at least a chance that Starship, Super Heavy, and Starbase’s orbital launch site wont be ready for orbital launches by the end of the year, but it’s increasingly difficult to imagine that all three won’t be proof tested, qualified, and ready for action just a month or two from now. For the time being, we’ll just have to wait and see where the cards fall.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
